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  2. Tensor - Wikipedia

    en.wikipedia.org/wiki/Tensor

    The linear nature of tensor implies that two tensors of the same type may be added together, and that tensors may be multiplied by a scalar with results analogous to the scaling of a vector. On components, these operations are simply performed component-wise.

  3. Tensors in curvilinear coordinates - Wikipedia

    en.wikipedia.org/wiki/Tensors_in_curvilinear...

    In orthogonal curvilinear coordinates of 3 dimensions, where = ; = = one can express the gradient of a scalar or vector field as = = = ; = For an orthogonal basis = = = The divergence of a vector field can then be written as = ( ) Also, = = = ; = = ; = = Therefore, = ( ) We can get an expression for the Laplacian in a similar manner by noting ...

  4. Metric tensor (general relativity) - Wikipedia

    en.wikipedia.org/wiki/Metric_tensor_(general...

    The factors are one-form gradients of the scalar coordinate fields . The metric is thus a linear combination of tensor products of one-form gradients of coordinates. The coefficients g μ ν {\displaystyle g_{\mu \nu }} are a set of 16 real-valued functions (since the tensor g {\displaystyle g} is a tensor field , which is defined at all points ...

  5. Mathematics of general relativity - Wikipedia

    en.wikipedia.org/wiki/Mathematics_of_general...

    Mathematically, tensors are generalised linear operators — multilinear maps. As such, the ideas of linear algebra are employed to study tensors. At each point of a manifold, the tangent and cotangent spaces to the manifold at that point may be constructed.

  6. Curvilinear coordinates - Wikipedia

    en.wikipedia.org/wiki/Curvilinear_coordinates

    Mathematical expressions involving these quantities in vector calculus and tensor analysis (such as the gradient, divergence, curl, and Laplacian) can be transformed from one coordinate system to another, according to transformation rules for scalars, vectors, and tensors. Such expressions then become valid for any curvilinear coordinate system.

  7. Dyadics - Wikipedia

    en.wikipedia.org/wiki/Dyadics

    In mathematics, specifically multilinear algebra, a dyadic or dyadic tensor is a second order tensor, written in a notation that fits in with vector algebra. There are numerous ways to multiply two Euclidean vectors. The dot product takes in two vectors and returns a scalar, while the cross product [a] returns a pseudovector.

  8. Vector calculus identities - Wikipedia

    en.wikipedia.org/wiki/Vector_calculus_identities

    The curl of the gradient of any continuously twice-differentiable scalar field (i.e., differentiability class) is always the zero vector: =. It can be easily proved by expressing ∇ × ( ∇ φ ) {\displaystyle \nabla \times (\nabla \varphi )} in a Cartesian coordinate system with Schwarz's theorem (also called Clairaut's theorem on equality ...

  9. Raising and lowering indices - Wikipedia

    en.wikipedia.org/wiki/Raising_and_lowering_indices

    It is common convention to use greek indices when writing expressions involving tensors in Minkowski space, while Latin indices are reserved for Euclidean space. Well-formulated expressions are constrained by the rules of Einstein summation: any index may appear at most twice and furthermore a raised index must contract with a lowered index ...